利用虚拟格网系统误差补偿进行RPC参数精化
Refinement of RPCs Based on Systematic Error Compensation for Virtual Grid
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摘要: 提出了一种RPC参数精化方法,即通过消除虚拟控制格网点上的系统误差来实现RPC参数的精化。试验结果表明,对于QuickBird影像,使用本文提出的方法精化RPC参数以后,其像点的平面精度达到了±2.4 pixels;对于SPOT-5立体像对而言,基于精化RPC参数的影像目标立体定位的平面精度和高程精度分别为±5.892 m和±4.020 m。Abstract: We propose a method for refining the RPCs.That is,refining the RPCs through eliminating systematic errors in the virtual grid.The empirical results show that the planimetric accuracy in image-space for QuickBird imagery reaches ±2.4 pixels after refining the RPCs by the proposed method.For SPOT-5 stereo imagery,the planimetric and height accuracy of the object stereo positioning are ±5.892 m and ±4.020 m,respectively.
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